Kimola Cognitive

Score10 out of 10

1 Reviews and Ratings

What is Kimola Cognitive?

Kimola Cognitive is a Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Top features of Kimola Cognitive are:

Scrape Web and Collect Reviews
Data analysis starts with data collection, and Kimola offers a web browser extension for marketing and research professionals to scrape content from the web to analyze and classify. It supports over 20 mediums, such as Amazon, Yelp, Youtube, Capterra, and TrustPilot.

Text Analysis with Entity Recognition
Through a drag & drop of consumer reviews into an excel file, Kimola Cognitive offers text analytics to reveal insights that are mentioned in consumer reviews such as organizations, celebrities, interests, work of arts, locations, nutritions, race & ethnicity, diseases.

Pre-Built models
Kimola Cognitive comes with a gallery of ready-to-use Machine Learning models for the most common use cases like sentiment and hate speech analysis along with consumer conversations around SaaS products, mobile apps, games. One or more models can be selected to classify data and reveal consumer insights.

Custom machine learning models
Kimola Cognitive also supports creating custom Machine Learning models by training a dataset. The platform takes care of choosing the best performing statistical model for the training set to ensure the best accuracy rate. These custom machine learning models are hosted on Kimola Cognitive and can be used via the user interface and API.

Creating marketing materials based on customer reviews
GPT is used in many sectors for different purposes, and also in customer research. Kimola Cognitive is a customer feedback analysis tool that integrates GPT to create SWOT analysis, FAQ's, product descriptions based on customer reviews.

Categories & Use Cases

Media

After signing up, Kimola Cognitive's home page full of support articles, resources and pre-built models are displayed.

Reports can be generated after choosing a sentiment and classification model, and with a PDF export.

Kimola Cognitive comes with a gallery of ready-to-use Machine Learning models for the most common use cases like sentiment and hate speech analysis along with consumer conversations around SaaS products, mobile apps, games.

Kimola Cognitive also supports creating custom Machine Learning models by training a dataset. The platform takes care of choosing the best performing statistical model to ensure accuracy. The custom machine learning models are hosted on Kimola Cognitive and can be used via the user interface and API.

Reviews can be scraped from 20+ mediums such as Amazon, Etsy, Booking, Walmart, Reddit etc. with Kimola Cognitive's browser extension.

Marketing materials can be created with a GPT integration, from creating SWOT analyses to product descriptions.

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Verified User

Manager in Product Management (11-50 employees employees)

Use Cases and Deployment Scope

It offers convenience and allows for seamless implementation of machine learning algorithms. The customer service provided is exceptional. Additionally, it is remarkably adaptable and user-friendly, accompanied by comprehensive documentation for its APIs. By effortlessly extracting data from various sources such as emails, chats, and the web, it undeniably reduces your workload. We’re very happy to use the product, never thought it would be this much easy.

Pros

Despite exploring various software options to analyze client feedback, none have proven as specific and accurate as Kimola Cognitive.

Cons

I believe that more language support should be added and it should reach more customers.

Most Important Features

With the help of the tool, I can easily pull the data.
The simple structure of the websites makes it easy to use.
You can easily reach your audience.

Return on Investment

In order to create a custom model, if you are not experienced in this field, you need to watch a video on youtube. This question has little to do with Kimola.

Other Software Used

RapidMiner